Non-cellular base station (BS) technology has become an important means to improve the capacity of wireless communication system because of its strong anti-networking performance. However, in order to further improve ...
Non-cellular base station (BS) technology has become an important means to improve the capacity of wireless communication system because of its strong anti-networking performance. However, in order to further improve the transmission capacity of the network, BSs with higher cost and higher energy consumption must be arranged in the network. therefore, the use of cheap and easily available reconfigurable intelligent surface (RIS) is a potential energy-saving technology. However, withthe increase of the number of RIS units, the channel acquisition cost is getting higher and higher, and the power consumption is also increasing. therefore, it is very important to use RIS elements to improve the ability of the system. A cell-free (CF) multi-input and multi-output system (MIMO) based on random RIS is studied. this project intends to study a class of network topology and beam optimization problems aiming at the highest energy efficiency. In view of the complexity of the problem, this project intends to split the problem into several sub-problems for cross-iteration, so as to get the sub-optimal results. Simulation experiments show that this method can effectively improve the energy consumption of the system when the number of RIS is limited.
Supercapacitors, also known as ultracapacitors or electrochemical capacitors, are promising energy storage devices bridging the gap between conventional capacitors and batteries. the architecture of the device plays a...
Supercapacitors, also known as ultracapacitors or electrochemical capacitors, are promising energy storage devices bridging the gap between conventional capacitors and batteries. the architecture of the device plays a crucial role in realizing the full potential of supercapacitors. Efforts have been dedicated to designing flexible and scalable supercapacitors suitable for integration into wearable electronics, energy storage systems, and electric vehicles. Recent studies have explored the novel fractal electrode design technique to increase the effective area of the electrode-electrolyte interface, thereby increasing the capacitance. this work investigates the design of Minkowski Anti Island fractal-based supercapacitor devices. the proposed fractal structure is simulated using COMSOL Multiphysics and analyzed for performance using cyclic voltammetry, galvanic charge-discharge technique, and electric field distribution. the results indicate higher power and energy densities than a traditional non-fractal supercapacitor, with higher specific capacitance figures.
We introduce a simple photonic crystal fiber (PCF) surface plasmon resonance biosensor. the finite element method characterizes sensory qualities. Practical sensing uses chemically stable gold on the PCF9;s outside...
We introduce a simple photonic crystal fiber (PCF) surface plasmon resonance biosensor. the finite element method characterizes sensory qualities. Practical sensing uses chemically stable gold on the PCF's outside. the modelled biosensor's sensitivity to wavelength, amplitude, and sensor resolution is examined to measure the analytes' refractive index (RI). Using wavelength and amplitude interrogation techniques, high sensor resolutions of 1.25×10 −5 in the 1.34-1.38 sensing range enable maximum sensitivity of 8000 nm/RIU and 210 RIU −1 , respectively. the hexagonal lattice structure of the proposed biosensor simplifies manufacturing. the suggested biosensor is appropriate for biochemical and biological detection due to its low cost, high sensitivity, and simple assembly.
Little research has been done on the integration of exergame-based technology for older adults focusing on integrating both frailty assessment and management. this study aimed to develop an integrated therapy system n...
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Boosting the low voltage output to achieve the required utility voltage is one of the main issues with solar photovoltaic sources. To effectively utilize solar energy at the highest power, point these systems frequent...
Boosting the low voltage output to achieve the required utility voltage is one of the main issues with solar photovoltaic sources. To effectively utilize solar energy at the highest power, point these systems frequently utilize high-performance boost DC-DC converters as interfacing circuits to fulfill the load demand. A novel expandable non-isolated step-up DC-DC converter with94% transformation efficiency is reported here. Moreover, a comparison of converters in terms of efficiency, gain in output voltage, the potential stress on semiconductors, and operating principle among various topologies has been executed. the basic design of the suggested converter features a large voltage gain (more than 20) and lessened stress on the diode and Metal Oxide Semiconductor Field Effect Semiconductor (MOSFET) as compared to the typical existing topology. Artificial Neural Networks (ANN) based algorithm is used in the construction of Maximum Power Point Tracking (MPPT) controllers as they are thought to be a faster, more accurate, and more reliable estimating technique than other techniques. Utilizing MATLAB/SIMULINK, simulation results are performed to verify theoretical notions.
3D human pose estimation has attracted increasing attention due to it frequently used in fields such as human-computer interaction. Due to the structure of the human skeleton is a kind of undirected topology, Graph Co...
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ISBN:
(数字)9798350350920
ISBN:
(纸本)9798350350937
3D human pose estimation has attracted increasing attention due to it frequently used in fields such as human-computer interaction. Due to the structure of the human skeleton is a kind of undirected topology, Graph Convolutional Network(GCN) is a suitable method to study 3D human pose estimation. However, traditional GCNs overlook the distinctions between joints and the implicit connections among nonadjacent joints. Additionally, the topological structure of the human body leads to significant error accumulation in pose estimation, which make the joints have higher error levels in highly flexible regions. We present Multi-scale Cross Fusion Network(MCFNet), a network that sequentially learns the human skeleton structure from joint, limb, and body semantic levels by segmenting original features. the MCFNet can combine the High-order MGCN(Modulated Graph Convolutional Network) module for joint scale capture and the Conv-SE module for limb scale feature fusion, thus achieving excellent joint feature extraction and reduction of the error accumulation. Experimental results on datasets like Human3.6M demonstrate that our proposed method surpasses the performance of state-of-the-art networks and achieves the highest accuracy.
A novel low cost massive array is described for ultra wideband RF and microwave communication applications. the usual Marchand balun is replaced withthe tapered slotline balun and a lumped matching network is employe...
A novel low cost massive array is described for ultra wideband RF and microwave communication applications. the usual Marchand balun is replaced withthe tapered slotline balun and a lumped matching network is employed to obtain high impedance transformation efficiency operating from 222MHz to 2000MHz. the average total radiation efficiency is above 80% throughout the whole a 9:1 bandwidth. the design is based on FR4 ordinary materials, which can reduce the fabrication cost of a wideband phased array especially in the ultrashort wave band. the balanced tapered-slot dipole uses a top coupling design to facilitate the modularization and connection between subarrays. the array can scan to ±60° in both E plane and H plane and the spacing between elements is 77mm, which is greater than λ/2 of the highest frequency. A closed finite array prototype of 8×9 dual polarized elements is proposed to weaken the cutoff influence of edge ports and has been verified by the full wave simulation. An amplitude-phase optimization algorithm is applied to achieve the desired results for the finite array. the instantaneous full frequency results of active VSWRs and realized gain patterns show that the proposed method can further improve the whole aperture performance.
this research discusses the performance evaluation of distributed database systems in a cloud computing environment Cloud computing environments allow data and applications to be stored and deployed on infrastructure ...
this research discusses the performance evaluation of distributed database systems in a cloud computing environment Cloud computing environments allow data and applications to be stored and deployed on infrastructure located in different parts of the world. However, the use of distributed database systems in cloud computing environments can cause performance issues, such as complex data access and factors such as network latency, security, and scalability that affect system performance. therefore, performance evaluation of distributed database systems is necessary to ensure effective data management across the infrastructure. the purpose of this research is to measure and understand the performance of distributed database systems in a cloud computing environment. this is important because proper performance evaluation is needed to ensure distributed database systems can operate effectively and efficiently in such environments. this research will analyze the features of distributed database systems, factors that affect performance, how to measure and compare system performance, and how to improve system performance. Analyzing the performance of distributed database systems in a cloud computing environment can help users choose the most appropriate and efficient cloud computing platform for their business needs and improve operational efficiency.
Human pose estimation and automatic detection is a common task in Human-computer Interaction but especially more capitalized in human-robot interaction inspired from biological form of human anatomy to realize a biomi...
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ISBN:
(数字)9798350377224
ISBN:
(纸本)9798350377231
Human pose estimation and automatic detection is a common task in Human-computer Interaction but especially more capitalized in human-robot interaction inspired from biological form of human anatomy to realize a biomimetic control. In this sense, using human pose estimation it can be realized the whole human body posture estimation using anatomical human joints detection as inputs for specialized algorithms to calculate it based on key points obtained from a person Kinematic tree using regression, generation or part relation as models to estimate the optimal position from video or even from image. In this paper we propose a solution to estimate of 2D human arm posture of a subject using image capture as input for advanced machine learning algorithms to determine the subject joints position used to control in biomimetic manner a simulation of human like robotic arm with six degrees of freedom as a computer-aided model in Matlab-Simulink based on forward kinematics.
Cardiovascular diseases (CVDs) are currently the leading cause of death worldwide. Accumulated evidence indicates that a healthy diet contributes significantly to health promotion and an increase in quality of life fo...
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